Czech Republic Koruna CZK 2004 Conversion Rates
- Opening Value is 25.851397 CZK per Dollar
- Closing Value is 22.354456 CZK per Dollar
- Change in Value during 2004 is -3.4969 which is -13.53%
- Best Performance is on 2004-12-31 with 22.354456 CZK per Dollar
- Lowest Performance is on 2004-04-29 with 27.651271 CZK per Dollar
- Average Value is 25.7018 CZK per Dollar
- Swing Between the higest and the lowest is 5.2968 per Dollar, that is 20.49% compared to the opening value.
USD to CZK Conversion Rates – 12 months
| Date | 1 USD = |
|---|---|
| 2004-12-31 | 22.3545 CZK |
| 2004-11-30 | 23.3235 CZK |
| 2004-10-31 | 24.7739 CZK |
| 2004-09-30 | 25.5472 CZK |
| 2004-08-31 | 26.3637 CZK |
| 2004-07-31 | 26.3727 CZK |
| 2004-06-30 | 26.3396 CZK |
| 2004-05-31 | 25.9366 CZK |
| 2004-04-30 | 27.2102 CZK |
| 2004-03-31 | 26.8650 CZK |
| 2004-02-29 | 26.0805 CZK |
| 2004-01-31 | 26.8949 CZK |
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December, 2004
01 23.3103
02 23.2041
↗0.106, 0.46%
03 23.1797
↗0.024, 0.11%
04 23.2105
↘0.031, 0.13%
05 23.2105
→0.000, 0.00%
06 22.9004
↗0.310, 1.34%
07 22.8643
↗0.036, 0.16%
08 23.1327
↘0.268, 1.17%
09 23.1332
↘0.001, 0.00%
10 23.3310
↘0.198, 0.85%
11 23.2611
↗0.070, 0.30%
12 23.2611
→0.000, 0.00%
13 23.1074
↗0.154, 0.66%
14 23.0025
↗0.105, 0.45%
15 22.9029
↗0.100, 0.43%
16 22.8511
↗0.052, 0.23%
17 22.9979
↘0.147, 0.64%
18 23.0426
↘0.045, 0.19%
19 23.0426
→0.000, 0.00%
20 22.8065
↗0.236, 1.02%
21 22.7668
↗0.040, 0.17%
22 22.8396
↘0.073, 0.32%
23 22.7607
↗0.079, 0.35%
24 22.5599
↗0.201, 0.88%
25 22.6468
↘0.087, 0.39%
26 22.6468
→0.000, 0.00%
27 22.5705
↗0.076, 0.34%
28 22.4167
↗0.154, 0.68%
29 22.4302
↘0.014, 0.06%
30 22.3674
↗0.063, 0.28%
31 22.3545
↗0.013, 0.06%
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November, 2004
01 24.6630
02 24.7448
↘0.082, 0.33%
03 24.6827
↗0.062, 0.25%
04 24.4703
↗0.212, 0.86%
05 24.4629
↗0.007, 0.03%
06 24.4585
↗0.004, 0.02%
07 24.4585
→0.000, 0.00%
08 24.3119
↗0.147, 0.60%
09 24.3287
↘0.017, 0.07%
10 24.2550
↗0.074, 0.30%
11 24.4188
↘0.164, 0.68%
12 24.3920
↗0.027, 0.11%
13 24.3974
↘0.005, 0.02%
14 24.3974
→0.000, 0.00%
15 24.2825
↗0.115, 0.47%
16 24.2210
↗0.062, 0.25%
17 24.0881
↗0.133, 0.55%
18 23.9934
↗0.095, 0.39%
19 23.9564
↗0.037, 0.15%
20 24.0011
↘0.045, 0.19%
21 24.0011
→0.000, 0.00%
22 23.8563
↗0.145, 0.60%
23 23.7314
↗0.125, 0.52%
24 23.6306
↗0.101, 0.42%
25 23.5244
↗0.106, 0.45%
26 23.4928
↗0.032, 0.13%
27 23.5720
↘0.079, 0.34%
28 23.5720
→0.000, 0.00%
29 23.4077
↗0.164, 0.70%
30 23.3235
↗0.084, 0.36%
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October, 2004
01 25.4393
02 25.4069
↗0.032, 0.13%
03 25.4069
→0.000, 0.00%
04 25.5747
↘0.168, 0.66%
05 25.5904
↘0.016, 0.06%
06 25.5705
↗0.020, 0.08%
07 25.5373
↗0.033, 0.13%
08 25.4681
↗0.069, 0.27%
09 25.4713
↘0.003, 0.01%
10 25.4713
→0.000, 0.00%
11 25.3214
↗0.150, 0.59%
12 25.4505
↘0.129, 0.51%
13 25.6231
↘0.173, 0.68%
14 25.4126
↗0.210, 0.82%
15 25.3584
↗0.054, 0.21%
16 25.3680
↘0.010, 0.04%
17 25.3680
→0.000, 0.00%
18 25.1832
↗0.185, 0.73%
19 25.1243
↗0.059, 0.23%
20 25.0297
↗0.095, 0.38%
21 25.0264
↗0.003, 0.01%
22 25.0346
↘0.008, 0.03%
23 25.0168
↗0.018, 0.07%
24 25.0168
→0.000, 0.00%
25 24.7252
↗0.292, 1.17%
26 24.7413
↘0.016, 0.07%
27 24.7262
↗0.015, 0.06%
28 24.8649
↘0.139, 0.56%
29 24.7663
↗0.099, 0.40%
30 24.7739
↘0.008, 0.03%
31 24.7739
→0.000, 0.00%
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September, 2004
01 26.1547
02 26.0823
↗0.072, 0.28%
03 26.0155
↗0.067, 0.26%
04 26.0310
↘0.016, 0.06%
05 26.0310
→0.000, 0.00%
06 26.2053
↘0.174, 0.67%
07 26.2544
↘0.049, 0.19%
08 26.3490
↘0.095, 0.36%
09 26.0173
↗0.332, 1.26%
10 26.0146
↗0.003, 0.01%
11 26.0304
↘0.016, 0.06%
12 26.0304
→0.000, 0.00%
13 25.8507
↗0.180, 0.69%
14 25.7565
↗0.094, 0.36%
15 25.6468
↗0.110, 0.43%
16 25.8592
↘0.212, 0.83%
17 25.7595
↗0.100, 0.39%
18 25.7618
↘0.002, 0.01%
19 25.7618
→0.000, 0.00%
20 25.8236
↘0.062, 0.24%
21 25.6814
↗0.142, 0.55%
22 25.6557
↗0.026, 0.10%
23 25.6368
↗0.019, 0.07%
24 25.6726
↘0.036, 0.14%
25 25.6973
↘0.025, 0.10%
26 25.6973
→0.000, 0.00%
27 25.7699
↘0.073, 0.28%
28 25.6310
↗0.139, 0.54%
29 25.6400
↘0.009, 0.04%
30 25.5472
↗0.093, 0.36%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-09-01”),26.155,26.15],[new Date(“2004-09-02”),26.082,26.08],[new Date(“2004-09-03”),26.016,26.02],[new Date(“2004-09-04”),26.031,26.03],[new Date(“2004-09-05”),26.031,26.03],[new Date(“2004-09-06”),26.205,26.21],[new Date(“2004-09-07”),26.254,26.25],[new Date(“2004-09-08”),26.349,26.35],[new Date(“2004-09-09”),26.017,26.02],[new Date(“2004-09-10”),26.015,26.01],[new Date(“2004-09-11”),26.030,26.03],[new Date(“2004-09-12”),26.030,26.03],[new Date(“2004-09-13”),25.851,25.85],[new Date(“2004-09-14”),25.757,25.76],[new Date(“2004-09-15”),25.647,25.65],[new Date(“2004-09-16”),25.859,25.86],[new Date(“2004-09-17”),25.759,25.76],[new Date(“2004-09-18”),25.762,25.76],[new Date(“2004-09-19”),25.762,25.76],[new Date(“2004-09-20”),25.824,25.82],[new Date(“2004-09-21”),25.681,25.68],[new Date(“2004-09-22”),25.656,25.66],[new Date(“2004-09-23”),25.637,25.64],[new Date(“2004-09-24”),25.673,25.67],[new Date(“2004-09-25”),25.697,25.70],[new Date(“2004-09-26”),25.697,25.70],[new Date(“2004-09-27”),25.770,25.77],[new Date(“2004-09-28”),25.631,25.63],[new Date(“2004-09-29”),25.640,25.64],[new Date(“2004-09-30″),25.547,25.55],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-09-01”),26.155,26.15],[new Date(“2004-09-02”),26.082,26.08],[new Date(“2004-09-03”),26.016,26.02],[new Date(“2004-09-04”),26.031,26.03],[new Date(“2004-09-05”),26.031,26.03],[new Date(“2004-09-06”),26.205,26.21],[new Date(“2004-09-07”),26.254,26.25],[new Date(“2004-09-08”),26.349,26.35],[new Date(“2004-09-09”),26.017,26.02],[new Date(“2004-09-10”),26.015,26.01],[new Date(“2004-09-11”),26.030,26.03],[new Date(“2004-09-12”),26.030,26.03],[new Date(“2004-09-13”),25.851,25.85],[new Date(“2004-09-14”),25.757,25.76],[new Date(“2004-09-15”),25.647,25.65],[new Date(“2004-09-16”),25.859,25.86],[new Date(“2004-09-17”),25.759,25.76],[new Date(“2004-09-18”),25.762,25.76],[new Date(“2004-09-19”),25.762,25.76],[new Date(“2004-09-20”),25.824,25.82],[new Date(“2004-09-21”),25.681,25.68],[new Date(“2004-09-22”),25.656,25.66],[new Date(“2004-09-23”),25.637,25.64],[new Date(“2004-09-24”),25.673,25.67],[new Date(“2004-09-25”),25.697,25.70],[new Date(“2004-09-26”),25.697,25.70],[new Date(“2004-09-27”),25.770,25.77],[new Date(“2004-09-28”),25.631,25.63],[new Date(“2004-09-29”),25.640,25.64],[new Date(“2004-09-30″),25.547,25.55],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_9’));
chart.draw(data, options);
}
August, 2004
01 26.3727
02 26.2552
↗0.117, 0.45%
03 26.3811
↘0.126, 0.48%
04 26.4369
↘0.056, 0.21%
05 26.3601
↗0.077, 0.29%
06 26.2397
↗0.120, 0.46%
07 26.2766
↘0.037, 0.14%
08 26.2766
→0.000, 0.00%
09 25.7134
↗0.563, 2.14%
10 25.5710
↗0.142, 0.55%
11 25.7050
↘0.134, 0.52%
12 25.7062
↘0.001, 0.00%
13 25.7417
↘0.035, 0.14%
14 25.7169
↗0.025, 0.10%
15 25.7169
→0.000, 0.00%
16 25.4760
↗0.241, 0.94%
17 25.4975
↘0.022, 0.08%
18 25.5244
↘0.027, 0.11%
19 25.6003
↘0.076, 0.30%
20 25.7179
↘0.118, 0.46%
21 25.6813
↗0.037, 0.14%
22 25.6813
→0.000, 0.00%
23 25.8531
↘0.172, 0.67%
24 26.1008
↘0.248, 0.96%
25 26.2410
↘0.140, 0.54%
26 26.2482
↘0.007, 0.03%
27 26.3633
↘0.115, 0.44%
28 26.3799
↘0.017, 0.06%
29 26.3799
→0.000, 0.00%
30 26.4435
↘0.064, 0.24%
31 26.3637
↗0.080, 0.30%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-08-01”),26.373,26.37],[new Date(“2004-08-02”),26.255,26.26],[new Date(“2004-08-03”),26.381,26.38],[new Date(“2004-08-04”),26.437,26.44],[new Date(“2004-08-05”),26.360,26.36],[new Date(“2004-08-06”),26.240,26.24],[new Date(“2004-08-07”),26.277,26.28],[new Date(“2004-08-08”),26.277,26.28],[new Date(“2004-08-09”),25.713,25.71],[new Date(“2004-08-10”),25.571,25.57],[new Date(“2004-08-11”),25.705,25.71],[new Date(“2004-08-12”),25.706,25.71],[new Date(“2004-08-13”),25.742,25.74],[new Date(“2004-08-14”),25.717,25.72],[new Date(“2004-08-15”),25.717,25.72],[new Date(“2004-08-16”),25.476,25.48],[new Date(“2004-08-17”),25.498,25.50],[new Date(“2004-08-18”),25.524,25.52],[new Date(“2004-08-19”),25.600,25.60],[new Date(“2004-08-20”),25.718,25.72],[new Date(“2004-08-21”),25.681,25.68],[new Date(“2004-08-22”),25.681,25.68],[new Date(“2004-08-23”),25.853,25.85],[new Date(“2004-08-24”),26.101,26.10],[new Date(“2004-08-25”),26.241,26.24],[new Date(“2004-08-26”),26.248,26.25],[new Date(“2004-08-27”),26.363,26.36],[new Date(“2004-08-28”),26.380,26.38],[new Date(“2004-08-29”),26.380,26.38],[new Date(“2004-08-30”),26.444,26.44],[new Date(“2004-08-31″),26.364,26.36],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-08-01”),26.373,26.37],[new Date(“2004-08-02”),26.255,26.26],[new Date(“2004-08-03”),26.381,26.38],[new Date(“2004-08-04”),26.437,26.44],[new Date(“2004-08-05”),26.360,26.36],[new Date(“2004-08-06”),26.240,26.24],[new Date(“2004-08-07”),26.277,26.28],[new Date(“2004-08-08”),26.277,26.28],[new Date(“2004-08-09”),25.713,25.71],[new Date(“2004-08-10”),25.571,25.57],[new Date(“2004-08-11”),25.705,25.71],[new Date(“2004-08-12”),25.706,25.71],[new Date(“2004-08-13”),25.742,25.74],[new Date(“2004-08-14”),25.717,25.72],[new Date(“2004-08-15”),25.717,25.72],[new Date(“2004-08-16”),25.476,25.48],[new Date(“2004-08-17”),25.498,25.50],[new Date(“2004-08-18”),25.524,25.52],[new Date(“2004-08-19”),25.600,25.60],[new Date(“2004-08-20”),25.718,25.72],[new Date(“2004-08-21”),25.681,25.68],[new Date(“2004-08-22”),25.681,25.68],[new Date(“2004-08-23”),25.853,25.85],[new Date(“2004-08-24”),26.101,26.10],[new Date(“2004-08-25”),26.241,26.24],[new Date(“2004-08-26”),26.248,26.25],[new Date(“2004-08-27”),26.363,26.36],[new Date(“2004-08-28”),26.380,26.38],[new Date(“2004-08-29”),26.380,26.38],[new Date(“2004-08-30”),26.444,26.44],[new Date(“2004-08-31″),26.364,26.36],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_8’));
chart.draw(data, options);
}
July, 2004
01 26.1862
02 26.1969
↘0.011, 0.04%
03 26.1838
↗0.013, 0.05%
04 26.1838
→0.000, 0.00%
05 25.9553
↗0.229, 0.87%
06 25.8304
↗0.125, 0.48%
07 25.5923
↗0.238, 0.92%
08 25.4646
↗0.128, 0.50%
09 25.4417
↗0.023, 0.09%
10 25.4300
↗0.012, 0.05%
11 25.4300
→0.000, 0.00%
12 25.3978
↗0.032, 0.13%
13 25.4208
↘0.023, 0.09%
14 25.4598
↘0.039, 0.15%
15 25.3686
↗0.091, 0.36%
16 25.3966
↘0.028, 0.11%
17 25.4107
↘0.014, 0.06%
18 25.4107
→0.000, 0.00%
19 25.1132
↗0.297, 1.17%
20 25.3317
↘0.219, 0.87%
21 25.5436
↘0.212, 0.84%
22 25.6266
↘0.083, 0.33%
23 25.7393
↘0.113, 0.44%
24 25.7219
↗0.017, 0.07%
25 25.7219
→0.000, 0.00%
26 25.9811
↘0.259, 1.01%
27 25.9871
↘0.006, 0.02%
28 26.3148
↘0.328, 1.26%
29 26.3611
↘0.046, 0.18%
30 26.3490
↗0.012, 0.05%
31 26.3727
↘0.024, 0.09%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-07-01”),26.186,26.19],[new Date(“2004-07-02”),26.197,26.20],[new Date(“2004-07-03”),26.184,26.18],[new Date(“2004-07-04”),26.184,26.18],[new Date(“2004-07-05”),25.955,25.96],[new Date(“2004-07-06”),25.830,25.83],[new Date(“2004-07-07”),25.592,25.59],[new Date(“2004-07-08”),25.465,25.46],[new Date(“2004-07-09”),25.442,25.44],[new Date(“2004-07-10”),25.430,25.43],[new Date(“2004-07-11”),25.430,25.43],[new Date(“2004-07-12”),25.398,25.40],[new Date(“2004-07-13”),25.421,25.42],[new Date(“2004-07-14”),25.460,25.46],[new Date(“2004-07-15”),25.369,25.37],[new Date(“2004-07-16”),25.397,25.40],[new Date(“2004-07-17”),25.411,25.41],[new Date(“2004-07-18”),25.411,25.41],[new Date(“2004-07-19”),25.113,25.11],[new Date(“2004-07-20”),25.332,25.33],[new Date(“2004-07-21”),25.544,25.54],[new Date(“2004-07-22”),25.627,25.63],[new Date(“2004-07-23”),25.739,25.74],[new Date(“2004-07-24”),25.722,25.72],[new Date(“2004-07-25”),25.722,25.72],[new Date(“2004-07-26”),25.981,25.98],[new Date(“2004-07-27”),25.987,25.99],[new Date(“2004-07-28”),26.315,26.31],[new Date(“2004-07-29”),26.361,26.36],[new Date(“2004-07-30”),26.349,26.35],[new Date(“2004-07-31″),26.373,26.37],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-07-01”),26.186,26.19],[new Date(“2004-07-02”),26.197,26.20],[new Date(“2004-07-03”),26.184,26.18],[new Date(“2004-07-04”),26.184,26.18],[new Date(“2004-07-05”),25.955,25.96],[new Date(“2004-07-06”),25.830,25.83],[new Date(“2004-07-07”),25.592,25.59],[new Date(“2004-07-08”),25.465,25.46],[new Date(“2004-07-09”),25.442,25.44],[new Date(“2004-07-10”),25.430,25.43],[new Date(“2004-07-11”),25.430,25.43],[new Date(“2004-07-12”),25.398,25.40],[new Date(“2004-07-13”),25.421,25.42],[new Date(“2004-07-14”),25.460,25.46],[new Date(“2004-07-15”),25.369,25.37],[new Date(“2004-07-16”),25.397,25.40],[new Date(“2004-07-17”),25.411,25.41],[new Date(“2004-07-18”),25.411,25.41],[new Date(“2004-07-19”),25.113,25.11],[new Date(“2004-07-20”),25.332,25.33],[new Date(“2004-07-21”),25.544,25.54],[new Date(“2004-07-22”),25.627,25.63],[new Date(“2004-07-23”),25.739,25.74],[new Date(“2004-07-24”),25.722,25.72],[new Date(“2004-07-25”),25.722,25.72],[new Date(“2004-07-26”),25.981,25.98],[new Date(“2004-07-27”),25.987,25.99],[new Date(“2004-07-28”),26.315,26.31],[new Date(“2004-07-29”),26.361,26.36],[new Date(“2004-07-30”),26.349,26.35],[new Date(“2004-07-31″),26.373,26.37],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_7’));
chart.draw(data, options);
}
June, 2004
01 25.8688
02 25.6467
↗0.222, 0.86%
03 25.6896
↘0.043, 0.17%
04 25.6459
↗0.044, 0.17%
05 25.6268
↗0.019, 0.07%
06 25.6268
→0.000, 0.00%
07 25.4152
↗0.212, 0.83%
08 25.4003
↗0.015, 0.06%
09 25.7090
↘0.309, 1.22%
10 25.9845
↘0.275, 1.07%
11 26.1624
↘0.178, 0.68%
12 26.1653
↘0.003, 0.01%
13 26.1653
→0.000, 0.00%
14 26.1972
↘0.032, 0.12%
15 26.2889
↘0.092, 0.35%
16 26.3522
↘0.063, 0.24%
17 26.3730
↘0.021, 0.08%
18 26.4218
↘0.049, 0.18%
19 26.4003
↗0.021, 0.08%
20 26.4003
→0.000, 0.00%
21 26.2943
↗0.106, 0.40%
22 26.3537
↘0.059, 0.23%
23 26.3754
↘0.022, 0.08%
24 26.1486
↗0.227, 0.86%
25 26.0438
↗0.105, 0.40%
26 26.0026
↗0.041, 0.16%
27 26.0026
→0.000, 0.00%
28 26.0710
↘0.068, 0.26%
29 26.2455
↘0.175, 0.67%
30 26.3396
↘0.094, 0.36%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-06-01”),25.869,25.87],[new Date(“2004-06-02”),25.647,25.65],[new Date(“2004-06-03”),25.690,25.69],[new Date(“2004-06-04”),25.646,25.65],[new Date(“2004-06-05”),25.627,25.63],[new Date(“2004-06-06”),25.627,25.63],[new Date(“2004-06-07”),25.415,25.42],[new Date(“2004-06-08”),25.400,25.40],[new Date(“2004-06-09”),25.709,25.71],[new Date(“2004-06-10”),25.984,25.98],[new Date(“2004-06-11”),26.162,26.16],[new Date(“2004-06-12”),26.165,26.17],[new Date(“2004-06-13”),26.165,26.17],[new Date(“2004-06-14”),26.197,26.20],[new Date(“2004-06-15”),26.289,26.29],[new Date(“2004-06-16”),26.352,26.35],[new Date(“2004-06-17”),26.373,26.37],[new Date(“2004-06-18”),26.422,26.42],[new Date(“2004-06-19”),26.400,26.40],[new Date(“2004-06-20”),26.400,26.40],[new Date(“2004-06-21”),26.294,26.29],[new Date(“2004-06-22”),26.354,26.35],[new Date(“2004-06-23”),26.375,26.38],[new Date(“2004-06-24”),26.149,26.15],[new Date(“2004-06-25”),26.044,26.04],[new Date(“2004-06-26”),26.003,26.00],[new Date(“2004-06-27”),26.003,26.00],[new Date(“2004-06-28”),26.071,26.07],[new Date(“2004-06-29”),26.246,26.25],[new Date(“2004-06-30″),26.340,26.34],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-06-01”),25.869,25.87],[new Date(“2004-06-02”),25.647,25.65],[new Date(“2004-06-03”),25.690,25.69],[new Date(“2004-06-04”),25.646,25.65],[new Date(“2004-06-05”),25.627,25.63],[new Date(“2004-06-06”),25.627,25.63],[new Date(“2004-06-07”),25.415,25.42],[new Date(“2004-06-08”),25.400,25.40],[new Date(“2004-06-09”),25.709,25.71],[new Date(“2004-06-10”),25.984,25.98],[new Date(“2004-06-11”),26.162,26.16],[new Date(“2004-06-12”),26.165,26.17],[new Date(“2004-06-13”),26.165,26.17],[new Date(“2004-06-14”),26.197,26.20],[new Date(“2004-06-15”),26.289,26.29],[new Date(“2004-06-16”),26.352,26.35],[new Date(“2004-06-17”),26.373,26.37],[new Date(“2004-06-18”),26.422,26.42],[new Date(“2004-06-19”),26.400,26.40],[new Date(“2004-06-20”),26.400,26.40],[new Date(“2004-06-21”),26.294,26.29],[new Date(“2004-06-22”),26.354,26.35],[new Date(“2004-06-23”),26.375,26.38],[new Date(“2004-06-24”),26.149,26.15],[new Date(“2004-06-25”),26.044,26.04],[new Date(“2004-06-26”),26.003,26.00],[new Date(“2004-06-27”),26.003,26.00],[new Date(“2004-06-28”),26.071,26.07],[new Date(“2004-06-29”),26.246,26.25],[new Date(“2004-06-30″),26.340,26.34],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_6’));
chart.draw(data, options);
}
May, 2004
01 27.1809
02 27.1809
→0.000, 0.00%
03 27.2043
↘0.023, 0.09%
04 26.8944
↗0.310, 1.14%
05 26.5680
↗0.326, 1.21%
06 26.5484
↗0.020, 0.07%
07 26.6608
↘0.112, 0.42%
08 26.6438
↗0.017, 0.06%
09 26.6438
→0.000, 0.00%
10 27.1824
↘0.539, 2.02%
11 27.2093
↘0.027, 0.10%
12 27.0911
↗0.118, 0.43%
13 26.9812
↗0.110, 0.41%
14 27.0550
↘0.074, 0.27%
15 27.0408
↗0.014, 0.05%
16 27.0408
→0.000, 0.00%
17 26.6152
↗0.426, 1.57%
18 26.5792
↗0.036, 0.14%
19 26.6129
↘0.034, 0.13%
20 26.7087
↘0.096, 0.36%
21 26.5162
↗0.192, 0.72%
22 26.5782
↘0.062, 0.23%
23 26.5782
→0.000, 0.00%
24 26.5383
↗0.040, 0.15%
25 26.2841
↗0.254, 0.96%
26 26.1269
↗0.157, 0.60%
27 26.2025
↘0.076, 0.29%
28 25.9492
↗0.253, 0.97%
29 25.9552
↘0.006, 0.02%
30 25.9552
→0.000, 0.00%
31 25.9366
↗0.019, 0.07%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-05-01”),27.181,27.18],[new Date(“2004-05-02”),27.181,27.18],[new Date(“2004-05-03”),27.204,27.20],[new Date(“2004-05-04”),26.894,26.89],[new Date(“2004-05-05”),26.568,26.57],[new Date(“2004-05-06”),26.548,26.55],[new Date(“2004-05-07”),26.661,26.66],[new Date(“2004-05-08”),26.644,26.64],[new Date(“2004-05-09”),26.644,26.64],[new Date(“2004-05-10”),27.182,27.18],[new Date(“2004-05-11”),27.209,27.21],[new Date(“2004-05-12”),27.091,27.09],[new Date(“2004-05-13”),26.981,26.98],[new Date(“2004-05-14”),27.055,27.05],[new Date(“2004-05-15”),27.041,27.04],[new Date(“2004-05-16”),27.041,27.04],[new Date(“2004-05-17”),26.615,26.62],[new Date(“2004-05-18”),26.579,26.58],[new Date(“2004-05-19”),26.613,26.61],[new Date(“2004-05-20”),26.709,26.71],[new Date(“2004-05-21”),26.516,26.52],[new Date(“2004-05-22”),26.578,26.58],[new Date(“2004-05-23”),26.578,26.58],[new Date(“2004-05-24”),26.538,26.54],[new Date(“2004-05-25”),26.284,26.28],[new Date(“2004-05-26”),26.127,26.13],[new Date(“2004-05-27”),26.203,26.20],[new Date(“2004-05-28”),25.949,25.95],[new Date(“2004-05-29”),25.955,25.96],[new Date(“2004-05-30”),25.955,25.96],[new Date(“2004-05-31″),25.937,25.94],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-05-01”),27.181,27.18],[new Date(“2004-05-02”),27.181,27.18],[new Date(“2004-05-03”),27.204,27.20],[new Date(“2004-05-04”),26.894,26.89],[new Date(“2004-05-05”),26.568,26.57],[new Date(“2004-05-06”),26.548,26.55],[new Date(“2004-05-07”),26.661,26.66],[new Date(“2004-05-08”),26.644,26.64],[new Date(“2004-05-09”),26.644,26.64],[new Date(“2004-05-10”),27.182,27.18],[new Date(“2004-05-11”),27.209,27.21],[new Date(“2004-05-12”),27.091,27.09],[new Date(“2004-05-13”),26.981,26.98],[new Date(“2004-05-14”),27.055,27.05],[new Date(“2004-05-15”),27.041,27.04],[new Date(“2004-05-16”),27.041,27.04],[new Date(“2004-05-17”),26.615,26.62],[new Date(“2004-05-18”),26.579,26.58],[new Date(“2004-05-19”),26.613,26.61],[new Date(“2004-05-20”),26.709,26.71],[new Date(“2004-05-21”),26.516,26.52],[new Date(“2004-05-22”),26.578,26.58],[new Date(“2004-05-23”),26.578,26.58],[new Date(“2004-05-24”),26.538,26.54],[new Date(“2004-05-25”),26.284,26.28],[new Date(“2004-05-26”),26.127,26.13],[new Date(“2004-05-27”),26.203,26.20],[new Date(“2004-05-28”),25.949,25.95],[new Date(“2004-05-29”),25.955,25.96],[new Date(“2004-05-30”),25.955,25.96],[new Date(“2004-05-31″),25.937,25.94],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_5’));
chart.draw(data, options);
}
April, 2004
01 26.6859
02 26.5716
↗0.114, 0.43%
03 26.5562
↗0.015, 0.06%
04 26.5562
→0.000, 0.00%
05 27.1062
↘0.550, 2.07%
06 27.0596
↗0.047, 0.17%
07 27.0726
↘0.013, 0.05%
08 26.9207
↗0.152, 0.56%
09 26.9149
↗0.006, 0.02%
10 26.9149
→0.000, 0.00%
11 26.9149
→0.000, 0.00%
12 26.8717
↗0.043, 0.16%
13 26.8643
↗0.007, 0.03%
14 26.9630
↘0.099, 0.37%
15 26.9870
↘0.024, 0.09%
16 27.1247
↘0.138, 0.51%
17 27.0921
↗0.033, 0.12%
18 27.0921
→0.000, 0.00%
19 27.0293
↗0.063, 0.23%
20 27.2419
↘0.213, 0.79%
21 27.4794
↘0.237, 0.87%
22 27.3707
↗0.109, 0.40%
23 27.2043
↗0.166, 0.61%
24 27.2188
↘0.015, 0.05%
25 27.2188
→0.000, 0.00%
26 27.3099
↘0.091, 0.33%
27 27.3209
↘0.011, 0.04%
28 27.3669
↘0.046, 0.17%
29 27.6513
↘0.284, 1.04%
30 27.2102
↗0.441, 1.60%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-04-01”),26.686,26.69],[new Date(“2004-04-02”),26.572,26.57],[new Date(“2004-04-03”),26.556,26.56],[new Date(“2004-04-04”),26.556,26.56],[new Date(“2004-04-05”),27.106,27.11],[new Date(“2004-04-06”),27.060,27.06],[new Date(“2004-04-07”),27.073,27.07],[new Date(“2004-04-08”),26.921,26.92],[new Date(“2004-04-09”),26.915,26.91],[new Date(“2004-04-10”),26.915,26.91],[new Date(“2004-04-11”),26.915,26.91],[new Date(“2004-04-12”),26.872,26.87],[new Date(“2004-04-13”),26.864,26.86],[new Date(“2004-04-14”),26.963,26.96],[new Date(“2004-04-15”),26.987,26.99],[new Date(“2004-04-16”),27.125,27.12],[new Date(“2004-04-17”),27.092,27.09],[new Date(“2004-04-18”),27.092,27.09],[new Date(“2004-04-19”),27.029,27.03],[new Date(“2004-04-20”),27.242,27.24],[new Date(“2004-04-21”),27.479,27.48],[new Date(“2004-04-22”),27.371,27.37],[new Date(“2004-04-23”),27.204,27.20],[new Date(“2004-04-24”),27.219,27.22],[new Date(“2004-04-25”),27.219,27.22],[new Date(“2004-04-26”),27.310,27.31],[new Date(“2004-04-27”),27.321,27.32],[new Date(“2004-04-28”),27.367,27.37],[new Date(“2004-04-29”),27.651,27.65],[new Date(“2004-04-30″),27.210,27.21],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-04-01”),26.686,26.69],[new Date(“2004-04-02”),26.572,26.57],[new Date(“2004-04-03”),26.556,26.56],[new Date(“2004-04-04”),26.556,26.56],[new Date(“2004-04-05”),27.106,27.11],[new Date(“2004-04-06”),27.060,27.06],[new Date(“2004-04-07”),27.073,27.07],[new Date(“2004-04-08”),26.921,26.92],[new Date(“2004-04-09”),26.915,26.91],[new Date(“2004-04-10”),26.915,26.91],[new Date(“2004-04-11”),26.915,26.91],[new Date(“2004-04-12”),26.872,26.87],[new Date(“2004-04-13”),26.864,26.86],[new Date(“2004-04-14”),26.963,26.96],[new Date(“2004-04-15”),26.987,26.99],[new Date(“2004-04-16”),27.125,27.12],[new Date(“2004-04-17”),27.092,27.09],[new Date(“2004-04-18”),27.092,27.09],[new Date(“2004-04-19”),27.029,27.03],[new Date(“2004-04-20”),27.242,27.24],[new Date(“2004-04-21”),27.479,27.48],[new Date(“2004-04-22”),27.371,27.37],[new Date(“2004-04-23”),27.204,27.20],[new Date(“2004-04-24”),27.219,27.22],[new Date(“2004-04-25”),27.219,27.22],[new Date(“2004-04-26”),27.310,27.31],[new Date(“2004-04-27”),27.321,27.32],[new Date(“2004-04-28”),27.367,27.37],[new Date(“2004-04-29”),27.651,27.65],[new Date(“2004-04-30″),27.210,27.21],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_4’));
chart.draw(data, options);
}
March, 2004
01 26.0144
02 26.2783
↘0.264, 1.01%
03 27.0538
↘0.775, 2.95%
04 27.1356
↘0.082, 0.30%
05 27.1644
↘0.029, 0.11%
06 27.1676
↘0.003, 0.01%
07 27.1676
→0.000, 0.00%
08 26.7313
↗0.436, 1.61%
09 26.7062
↗0.025, 0.09%
10 26.9294
↘0.223, 0.84%
11 27.0580
↘0.129, 0.48%
12 26.9946
↗0.063, 0.23%
13 26.9570
↗0.038, 0.14%
14 26.9570
→0.000, 0.00%
15 27.0523
↘0.095, 0.35%
16 26.9175
↗0.135, 0.50%
17 27.0908
↘0.173, 0.64%
18 27.0546
↗0.036, 0.13%
19 26.8623
↗0.192, 0.71%
20 26.8209
↗0.041, 0.15%
21 26.8209
→0.000, 0.00%
22 26.8780
↘0.057, 0.21%
23 26.9611
↘0.083, 0.31%
24 26.8089
↗0.152, 0.56%
25 26.9042
↘0.095, 0.36%
26 26.9035
↗0.001, 0.00%
27 26.9204
↘0.017, 0.06%
28 26.9204
→0.000, 0.00%
29 27.0621
↘0.142, 0.53%
30 27.0731
↘0.011, 0.04%
31 26.8650
↗0.208, 0.77%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-03-01”),26.014,26.01],[new Date(“2004-03-02”),26.278,26.28],[new Date(“2004-03-03”),27.054,27.05],[new Date(“2004-03-04”),27.136,27.14],[new Date(“2004-03-05”),27.164,27.16],[new Date(“2004-03-06”),27.168,27.17],[new Date(“2004-03-07”),27.168,27.17],[new Date(“2004-03-08”),26.731,26.73],[new Date(“2004-03-09”),26.706,26.71],[new Date(“2004-03-10”),26.929,26.93],[new Date(“2004-03-11”),27.058,27.06],[new Date(“2004-03-12”),26.995,26.99],[new Date(“2004-03-13”),26.957,26.96],[new Date(“2004-03-14”),26.957,26.96],[new Date(“2004-03-15”),27.052,27.05],[new Date(“2004-03-16”),26.917,26.92],[new Date(“2004-03-17”),27.091,27.09],[new Date(“2004-03-18”),27.055,27.05],[new Date(“2004-03-19”),26.862,26.86],[new Date(“2004-03-20”),26.821,26.82],[new Date(“2004-03-21”),26.821,26.82],[new Date(“2004-03-22”),26.878,26.88],[new Date(“2004-03-23”),26.961,26.96],[new Date(“2004-03-24”),26.809,26.81],[new Date(“2004-03-25”),26.904,26.90],[new Date(“2004-03-26”),26.903,26.90],[new Date(“2004-03-27”),26.920,26.92],[new Date(“2004-03-28”),26.920,26.92],[new Date(“2004-03-29”),27.062,27.06],[new Date(“2004-03-30”),27.073,27.07],[new Date(“2004-03-31″),26.865,26.87],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-03-01”),26.014,26.01],[new Date(“2004-03-02”),26.278,26.28],[new Date(“2004-03-03”),27.054,27.05],[new Date(“2004-03-04”),27.136,27.14],[new Date(“2004-03-05”),27.164,27.16],[new Date(“2004-03-06”),27.168,27.17],[new Date(“2004-03-07”),27.168,27.17],[new Date(“2004-03-08”),26.731,26.73],[new Date(“2004-03-09”),26.706,26.71],[new Date(“2004-03-10”),26.929,26.93],[new Date(“2004-03-11”),27.058,27.06],[new Date(“2004-03-12”),26.995,26.99],[new Date(“2004-03-13”),26.957,26.96],[new Date(“2004-03-14”),26.957,26.96],[new Date(“2004-03-15”),27.052,27.05],[new Date(“2004-03-16”),26.917,26.92],[new Date(“2004-03-17”),27.091,27.09],[new Date(“2004-03-18”),27.055,27.05],[new Date(“2004-03-19”),26.862,26.86],[new Date(“2004-03-20”),26.821,26.82],[new Date(“2004-03-21”),26.821,26.82],[new Date(“2004-03-22”),26.878,26.88],[new Date(“2004-03-23”),26.961,26.96],[new Date(“2004-03-24”),26.809,26.81],[new Date(“2004-03-25”),26.904,26.90],[new Date(“2004-03-26”),26.903,26.90],[new Date(“2004-03-27”),26.920,26.92],[new Date(“2004-03-28”),26.920,26.92],[new Date(“2004-03-29”),27.062,27.06],[new Date(“2004-03-30”),27.073,27.07],[new Date(“2004-03-31″),26.865,26.87],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_3’));
chart.draw(data, options);
}
February, 2004
01 26.8949
02 26.6909
↗0.204, 0.76%
03 26.5594
↗0.132, 0.49%
04 26.5113
↗0.048, 0.18%
05 26.4757
↗0.036, 0.13%
06 26.4918
↘0.016, 0.06%
07 26.4796
↗0.012, 0.05%
08 26.4796
→0.000, 0.00%
09 26.1314
↗0.348, 1.31%
10 26.0172
↗0.114, 0.44%
11 25.9838
↗0.033, 0.13%
12 25.6910
↗0.293, 1.13%
13 25.4698
↗0.221, 0.86%
14 25.5050
↘0.035, 0.14%
15 25.5050
→0.000, 0.00%
16 25.5393
↘0.034, 0.13%
17 25.4693
↗0.070, 0.27%
18 25.5055
↘0.036, 0.14%
19 25.7886
↘0.283, 1.11%
20 25.7752
↗0.013, 0.05%
21 25.7745
↗0.001, 0.00%
22 25.7745
→0.000, 0.00%
23 25.9552
↘0.181, 0.70%
24 25.9268
↗0.028, 0.11%
25 25.7140
↗0.213, 0.82%
26 26.0210
↘0.307, 1.19%
27 26.0999
↘0.079, 0.30%
28 26.0805
↗0.019, 0.07%
29 26.0805
→0.000, 0.00%
google.charts.load(“current”, {packages: [“corechart”, “line”]});
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
data.addColumn({type: “number”, role: “annotation”});data.addRows([[new Date(“2004-02-01”),26.895,26.89],[new Date(“2004-02-02”),26.691,26.69],[new Date(“2004-02-03”),26.559,26.56],[new Date(“2004-02-04”),26.511,26.51],[new Date(“2004-02-05”),26.476,26.48],[new Date(“2004-02-06”),26.492,26.49],[new Date(“2004-02-07”),26.480,26.48],[new Date(“2004-02-08”),26.480,26.48],[new Date(“2004-02-09”),26.131,26.13],[new Date(“2004-02-10”),26.017,26.02],[new Date(“2004-02-11”),25.984,25.98],[new Date(“2004-02-12”),25.691,25.69],[new Date(“2004-02-13”),25.470,25.47],[new Date(“2004-02-14”),25.505,25.51],[new Date(“2004-02-15”),25.505,25.51],[new Date(“2004-02-16”),25.539,25.54],[new Date(“2004-02-17”),25.469,25.47],[new Date(“2004-02-18”),25.506,25.51],[new Date(“2004-02-19”),25.789,25.79],[new Date(“2004-02-20”),25.775,25.78],[new Date(“2004-02-21”),25.775,25.77],[new Date(“2004-02-22”),25.775,25.77],[new Date(“2004-02-23”),25.955,25.96],[new Date(“2004-02-24”),25.927,25.93],[new Date(“2004-02-25”),25.714,25.71],[new Date(“2004-02-26”),26.021,26.02],[new Date(“2004-02-27”),26.100,26.10],[new Date(“2004-02-28”),26.081,26.08],[new Date(“2004-02-29″),26.081,26.08],]);var options = {
hAxis: {
title: ‘Date’
},
vAxis: {
title: ‘Conversion Rate’
},
lineWidth: 4,
‘chartArea’: {‘width’: ‘80%’, ‘height’: ‘80%’},
‘legend’: {‘position’: ‘none’},
‘colors’:[”]
};
var chart = new google.visualization.LineChart(document.getElementById(‘chart_div_2’));
chart.draw(data, options);
}
google.charts.setOnLoadCallback(drawBasic);function drawBasic() {
var data = new google.visualization.DataTable();data.addColumn(“date”, “Date”);
data.addColumn(“number”, “Conversion Rate”);
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January, 2004
01 25.8514
02 25.7235
↗0.128, 0.49%
03 25.7180
↗0.006, 0.02%
04 25.7180
→0.000, 0.00%
05 25.5902
↗0.128, 0.50%
06 25.4320
↗0.158, 0.62%
07 25.4882
↘0.056, 0.22%
08 25.6221
↘0.134, 0.53%
09 25.4882
↗0.134, 0.52%
10 25.4524
↗0.036, 0.14%
11 25.4524
→0.000, 0.00%
12 25.3887
↗0.064, 0.25%
13 25.5349
↘0.146, 0.58%
14 25.6521
↘0.117, 0.46%
15 25.7884
↘0.136, 0.53%
16 26.1468
↘0.358, 1.39%
17 26.1118
↗0.035, 0.13%
18 26.1118
→0.000, 0.00%
19 26.3957
↘0.284, 1.09%
20 26.1997
↗0.196, 0.74%
21 26.0568
↗0.143, 0.55%
22 25.8948
↗0.162, 0.62%
23 25.9647
↘0.070, 0.27%
24 25.9454
↗0.019, 0.07%
25 25.9454
→0.000, 0.00%
26 26.1831
↘0.238, 0.92%
27 26.3203
↘0.137, 0.52%
28 26.2711
↗0.049, 0.19%
29 26.5579
↘0.287, 1.09%
30 26.9015
↘0.344, 1.29%
31 26.8949
↗0.007, 0.02%
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